Java-Friendly Machine Learning With JSR381

Can't attend in person? We'll start the streaming presentation at 7 PM.

We'll have pizza at 6:30 for those attending in-person! Frank and Zoran will present remotely, but we'll meet in person for those who are interested.

Machine learning (ML) is a hugely important global trend that affects every part of the stack from the user to the hardware. All developers, and especially Java developers, need to understand how to build apps that use ML.

However, there are not many coding options for Java developers. The current ML libraries available for Java developers have several issues – either they are very complex and designed for data scientists, or they are Java wrappers around C/C++ libraries and don’t “feel” like Java tools.

Now there is JSR381, an open-source, Java-friendly API for ML, specifically visual recognition. This API has a wide range of business applications across many types of industries and use cases. In this session, we will discuss the goals of JSR381 (“VisRec”), review the API, and show code running in IntelliJ IDEA.

Useful resourcesTo get the most out of the live stream, you may need additional materials on the topic. Here are the most valuable: Getting Started with VisRec, JSR 381 Reference Implementation, and Deep Netts Community Edition.

About the speakers

is an AI and software engineering professor, entrepreneur, and open-source enthusiast. He is a Java champion and co-author of the JSR 381 API, a Java standard API for Visual Recognition using machine learning. His main professional goal is to strengthen the Java AI / machine learning ecosystem. He is an author and co-founder of the Deep Netts development platform for deep learning in Java, which also provides open-source reference implementation of JSR381.

has surfed a wide variety of software development waves, from working on telephone call traffic optimization at AT&T Bell Laboratories to co-authoring a visual recognition standard using neural networks and machine learning. He is a Java Champion and the Chairman of the very active and opinionated NYJavaSIG.

Along with Zoran, Frank is the co-author of the JSR 381 Visual Recognition for Java standard API specification and a strong advocate for Java and machine learning. Frank’s goal is to excite, inspire, and educate software developers, technology managers, and organizations on cutting-edge trends and technology.

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Thank you to our Door Prize Sponsors!

AgileLearner.com - 1 year subscription

Hello2Morrow.com - 1 year SonarGraph license

JetBrains.com - 1 year IntelliJ Ultimate license

Structure101.com - 1 year Structure 101 IDE plugin license

Webucator.com - voucher for one online self-paced course.

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